Kumar Ritesh, Founder and CEO at CYFIRMA, commented: “The SEA and Japan region presents a unique geography of developed and emerging markets. It is where some of the largest enterprises in the world are based, a hotbed for fast-growing start-up businesses that are driving technological innovations, as well as home to youthful populations who are digitally connected. At the same time, governments here are encouraging digital adoption and driving smart city projects.”
“All this connectivity translates to wider attack surfaces for threat actors. Additionally, cyber maturity may not be keeping pace with this growth, creating a ripe environment for cyberthreat actors looking to exploit vulnerabilities. We have already seen hacker groups taking advantage of the global health crisis over the last few months to intensify their attacks, causing a spike in cyberthreat activities.”
The SEA and Japan Threat Landscape Report offers facts and intelligence on reported cyber-attack campaigns with detailed information on the top attack methods. There is also section that deep dives into the top critical incidents in the first half of the year.
Additionally, the report focuses on specific threat actors that are targeting organisations in the region and offers an analytical view into the tools and attack methods, such as phishing, during the current pandemic.
Ritesh added: “At CYFIRMA, we help organisations take a proactive and pre-emptive approach against cyberthreats by strengthening their tactical threat intelligence and constantly improving their cyber posture to stay ahead of adversaries. The report offers a landscape view on cyberthreat allowing organisations to better understand the motivation behind threat actors and the methods they adopt.”
The SEA and Japan Threat Landscape Report is developed by CYFIRMA researchers using its proprietary cloud-based threat discovery and cyber-intelligence platform DeCYFIR. The team taps on this to dive into hackers’ trenches to analyse and correlate information and discover the deepest insights from the data.
